Semiconductors have become foundational to modern vehicle innovation, shaping performance, safety, energy efficiency and feature capability. Today’s advanced vehicles integrate 1,000-3,000+ semiconductor chips across critical domains such as Advanced Driver Assistance Systems (ADAS), power electronics, battery systems, vehicle sensors, communication networks and vehicle control processors.

Vehicle architectures are simultaneously undergoing a fundamental shift – from numerous function-specific ECUs to zonal and centralized compute architectures. Rather than dedicating a controller per function, multiple workloads now run on shared, high-capacity processors. Virtualization allows these functions to operate independently on shared hardware, reducing complexity, lowering cost and simplifying software updates and validation.

This architectural evolution is unfolding against a backdrop of rapid semiconductor market growth. Worldwide semiconductor revenue reached $793 billion in 2025, representing 21% year-over-year growth, according to Gartner. Within this rapidly expanding market, automotive semiconductors are emerging as one of the fastest growing segments. As total semiconductor revenue approaches the $800 billion mark, automotive semiconductor demand is projected to increase multifold, fueled by vehicle electrification, ADAS and the shift toward software-defined vehicles.

Semiconductors now directly enable battery management, functional safety, autonomous driving workloads, infotainment systems and vehicle connectivity. As a result, silicon choices have become central to overall system architecture, lifecycle cost optimization and long-term automotive competitiveness.

Why automotive OEMs are moving toward custom silicon

Traditionally, the automotive industry relied on sourcing standard, off-the-shelf chips and integrating them into discrete ECUs and domain controllers. While effective for earlier vehicle generations, this model constrains system-level optimization across performance, power efficiency and lifecycle control.

Today, OEMs are increasingly co-designing or directly developing custom silicon for consolidated ECUs, zone controllers and centralized compute platforms. These architectures are purpose-built around vehicle class requirements and long-term software roadmaps, enabling tighter alignment between hardware capabilities and evolving feature demands.

Custom silicon enables workload-specific optimization. Improvements in energy efficiency directly translate into extended electric vehicle range and simplified thermal management. At the same time, centralized compute platforms with OTA capabilities support continuous feature upgrades, faster innovation cycles and extended vehicle lifecycles.

Supply chain stability has also become a strategic priority. Custom silicon programs provide OEMs with greater control over sourcing, availability and long-term cost structures. While non-recurring engineering investments are significant, consolidated architectures improve lifecycle economics at scale.

Collectively, these shifts signal a fundamental industry transformation. OEMs are transitioning from component buyers to silicon strategists, making semiconductor capability a core part of product planning rather than a procurement consideration.

The engineering pressure points that are slowing innovation

Semiconductor engineering is under mounting pressure as process nodes scaling to 3nm and 2nm. They increase design complexity and verification effort. Mask set costs now exceeding $20 million sharply amplify the financial risk of design errors, making first-time-right silicon critical to maintaining program schedules and profitability.

Power efficiency has become a defining constraint, particularly for electric vehicles. As compute density rises, thermal constraints tighten – especially in centralized architectures where packaging flexibility is restricted and heat dissipation options are limited.

At the same time automotive product cycles are compressing even as chip complexity continues to grow. Functional safety requirements demand extensive validation across tightly coupled hardware and software layers, while siloed development models introduce integration risk in safety-critical systems.

Under these conditions, traditional development methods no longer scale. Without architectural changes and workflow improvements, design cycles extend, re-spin risk increases and cost exposure grows.

New architecture solutions: Chiplets and platform-based design

Architecture decisions now influence development speed and risk. In many use cases, chiplet-based modular architectures are replacing fully monolithic System-on-Chip (SoCs). Compute tiles, AI accelerators, GPUs, I/O subsystems and memory interfaces can be partitioned into reusable, validated silicon blocks. Proven chiplets significantly reduce re-spin probability and improve yield predictability.

Advanced die-to-die interconnect and packaging technologies enable heterogeneous integration across different process nodes, allowing performance-critical blocks to use advanced nodes while maintaining cost efficiency for mature functions.

Modular designs also enable structured upgrade paths. Instead of redesigning entire SoCs for each vehicle generation, OEMs can selectively refresh compute tiles or accelerators can be updated, shortening development timelines and improving platform reuse.

Platform-based silicon frameworks standardize interfaces and validated IP blocks, while hardware–software co-design ensures alignment layers from early design stages.

AI as a force multiplier in chip development

AI is increasingly being embedded to semiconductor engineering workflows. AI-assisted verification improves coverage analysis and accelerate defect detection, while AI-driven simulation accelerates validation and reduces manual effort. These capability enable faster, more optimized design exploration and higher engineering productivity. Faster iteration cycles reduce time-to-tapeout and limit late-stage corrections.

From chip to cloud: The need for full-stack co-design

Semiconductor design must align with complete vehicle and cloud system architectures. Chips must be supported with board design, low-level drivers, middleware and application software. Furthermore, compliance with ISO 26262 requires traceable design flows and rigorous validation.

OTA updates introduce additional architectural requirements. Secure boot mechanisms, hardware root of trust and long-term firmware management are foundational to safe, continuous software delivery. At the same time,cloud connectivity requires robust encryption, secure communication stacks and lifecycle monitoring to protect vehicles throughout extended service lives.

Software-defined vehicle architectures and centralized or zonal compute models replace distributed ECUs, requiring coordinated design across networking, synchronization, redundancy models and safety frameworks.

HCLTech’s role in enabling custom semiconductor innovation

Meeting these demands requires full-stack expertise. HCLTech combines semiconductor engineering with automotive domain capabilities to support custom silicon design at scale.

With more than 27 years of semiconductor engineering experience and over 220 successful tapeouts, HCLTech delivers a proven track record of execution, achieving a 95% first-time-right silicon success rate. Investments exceeding $60 million in validation labs and infrastructure support complex verification and qualification needs, while advanced node engagement includes 18A, N2, N3 and N5-class processes.

Reusable platform accelerators and silicon frameworks help reduce development time and risk. AI-assisted design methodologies improve verification efficiency and accelerate design exploration. End-to-end chip-to-cloud engineering capabilities span board design, driver development, middleware integration and automotive application layers – ensuring architectural coherence from silicon through software.

A strong ecosystem partnerships across foundries, IP vendors, EDA providers and automotive suppliers enable coordinated execution across the semiconductor value chain.

The road ahead: Semiconductor strategy will define mobility leaders

Centralized and zonal compute architectures are rapidly becoming standard across new vehicle platforms. In this landscape, custom silicon is a primary lever performance differentiation, energy efficiency and long-term upgrade capability.

Chiplet-based designs enable modular improvements, while AI-driven development shortens timelines and improves design accuracy.

Vehicles are evolving into intelligent edge systems with continuous software updates and connected services. Semiconductor capability, architectural clarity and execution discipline will determine long-term competitiveness in next-generation mobility.